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Sarsaparilla officinalis

Sources : Kiberis
EN: Allen, Boericke, Boger, Clarke, Hahnemann, Hering, Kent, Lippe, Lippe (keynotes), Nash, Phatak
RU: Аллен, Аллен (ключ), Берике, Богер, Бханья, Вермюлен, Гамильтон, Ганнеман, Геринг, Кент, Кларк, Липпе, Моррисон, Никитин, Нэш, Фатак, Фундылер, Шанкаран
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Other names and synonyms

sars.

Performance statistics based

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  • 11
    Diseases: E 54%, I 20%, 45 cases. 1881 meds
    • 2
      Anamnesis: E 45%, I 19%, 16 cases. 698 meds
      • Neck: E 53%, I 15%, 9 cases. 719 meds
      • 3
        Bone system: E 49%, I 14%, 20 cases. 278 meds
        • 2
          Back: E 52%, I 14%, 13 cases. 874 meds
          • 4
            Abdomen: E 61%, I 13%, 22 cases. 1065 meds
            • 4
              Cardiovascular system: E 60%, I 8%, 32 cases. 1118 meds
              • 1
                Nervous system: E 49%, I 7%, 17 cases. 600 meds
                • 8
                  Psyche: E 35%, I 7%, 41 case. 1271 meds
                  • 8
                    Digestive system: E 56%, I 6%, 45 cases. 1273 meds
                    • 4
                      Respiratory system: E 69%, I 5%, 20 cases. 1007 meds
                      • 7
                        Genitourinary system: E 56%, I 5%, 56 cases. 684 meds
                        • 7
                          Skin: E 37%, I 5%, 43 cases. 1256 meds
                          • 3
                            Chest: E 52%, I 4%, 15 cases. 1020 meds
                            • 7
                              Head: E 49%, I 3%, 40 cases. 1231 meds
                              • 5
                                Limbs: E 35%, I -4%, 42 cases. 928 meds
                                • 2
                                  Pelvis: E 33%, I -25%, 4 cases. 476 meds

                                  Last updated date: 14.07.2026

                                  Performance statistics based «Sarsaparilla officinalis» in percentages for various lesions, grouped by meaning in the form of a repertory. Together with individual modalities that affect the outcome of therapy.
                                  Effect - how much the symptom improves in one treatment cycle on average. Example: drug Pain relief for cancer pain-Effectiveness (E) is high, but the effect (I) negative, because the patient will get worse over time.
                                  Influence of the symptom on the outcome of the patient's treatment as a whole (i.e., the importance of the symptom). Example: menopause can not be cured (E low). But some means during menopause will be better than others (I high).
                                  Cases - the number of investigated treatment results for a given complaint, on the basis of which the effect and effect were calculated. These cases have already passed automatic AI verification of data quality and reliability.
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